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Resistance to Innovation: A Dynamic Capability Model Based Enquiry into Retailers' Resistance to Blockchain Adaptation

Author

Listed:
  • Yogesh K. Dwivedi

    (Swansea University, School of CS&IT, Jain Deemed-to-be University, Bangalore, India)

  • J. Balakrishnan
  • R. Das
  • Vincent Dutot

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

Abstract

Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the conceptual model. The study used a single cross-sectional design to investigate the proposed model with data collected from 360 retailers. The data were analysed using structural equation modelling estimated with the maximum likelihood model. The study's results showed that the threat of data ownership is the most significant factor that builds resistance towards blockchain, followed by threat severity. The results also showed that managerial capability and innovation capability could indirectly influence the relationship of IRT variables to resistance towards blockchain. The research extends the knowledge in the blockchain and contributes to relevant literature and business practitioners concerned with the results. \textcopyright 2022

Suggested Citation

  • Yogesh K. Dwivedi & J. Balakrishnan & R. Das & Vincent Dutot, 2023. "Resistance to Innovation: A Dynamic Capability Model Based Enquiry into Retailers' Resistance to Blockchain Adaptation," Post-Print hal-04292611, HAL.
    • Handle: RePEc:hal:journl:hal-04292611
    DOI: 10.1016/j.jbusres.2022.113632
    Note: View the original document on HAL open archive server: https://hal.science/hal-04292611
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